Alternatives and similar repositories for word_embeddings

Users that are interested in word_embeddings are comparing it to the libraries listed below

• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• cemoody / Document2Vec
  Finding document vectors from pre-trained word2vec word vectors
  ☆116Updated 10 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• mdenil / txtnets
  A convolutional neural network library for NLP.
  ☆59Updated 7 years ago
• fbkarsdorp / doc2vec
  Tutorial and review of word2vec / doc2vec
  ☆104Updated 10 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 9 years ago
• zseymour / phrase2vec
  Implementation of phrase2vec from modified word2vec code.
  ☆94Updated 8 years ago
• alex-berard / multivec
  A Multilingual and Multilevel Representation Learning Toolkit for NLP
  ☆117Updated 7 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 8 years ago
• kedz / sumpy
  SUMPY: a python automatic text summarization library
  ☆55Updated 9 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• chyikwei / topicModels
  topics Models extension for Mallet & scikit-learn
  ☆49Updated 8 years ago
• unnati-xyz / intro-to-deep-learning-for-nlp
  The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
  ☆109Updated 9 years ago
• Cardal / Kaggle_AllenAIscience
  My solution for the Kaggle "Allen AI science challenge"
  ☆48Updated 9 years ago
• miyyer / rmn
  relationship modeling networks (NAACL 2016)
  ☆87Updated 4 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 8 years ago
• hal3 / vwnlp
  Solving NLP problems with Vowpal Wabbit: Tutorial and more
  ☆183Updated 9 years ago
• zygmuntz / classifying-text
  Classifying text with bag-of-words
  ☆113Updated 10 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆81Updated 8 years ago
• turian / neural-language-model
  Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.
  ☆177Updated 15 years ago
• gouwsmeister / bilbowa
  Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.
  ☆69Updated 4 years ago
• Smerity / keras_snli
  Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
  ☆265Updated 8 years ago
• piskvorky / sim-shootout
  Code for "Performance shootout between nearest-neighbour libraries": http://radimrehurek.com/2013/11/performance-shootout-of-nearest-neig…
  ☆99Updated 10 years ago
• castorini / MP-CNN-Torch
  Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
  ☆106Updated 7 years ago
• SwordYork / DCNMT
  Deep Character-Level Neural Machine Translation
  ☆71Updated 8 years ago
• brendano / stanford_corenlp_pywrapper
  ☆151Updated 5 years ago
• bobflagg / cs224d-deep-learning-for-nlp
  Notes, code, and other resoruces for auditing the course CS224d: Deep Learning for Natural Language Processing
  ☆50Updated 10 years ago